Triple
T34312066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German chemical industry |
E880476
|
entity |
| Predicate | hasTradeAssociation |
P199958
|
FINISHED |
| Object | Verband der Chemischen Industrie |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Verband der Chemischen Industrie | Statement: [German chemical industry, hasTradeAssociation, Verband der Chemischen Industrie]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTradeAssociation Context triple: [German chemical industry, hasTradeAssociation, Verband der Chemischen Industrie]
-
A.
hasTrade
Indicates a relationship where one entity engages in or maintains a commercial exchange or trading activity with another entity.
-
B.
hasTradeName
Indicates that a product, substance, or entity is known or marketed under a specific commercial or brand name.
-
C.
hasTraditionalAssociation
Indicates that one entity is customarily or historically linked with another according to tradition or long-established practice.
-
D.
hasAssociatedCompany
Indicates that one entity is linked or connected to a company in an associated or affiliated manner.
-
E.
tradesAs
Indicates that one entity conducts business or is publicly known under the trading name or brand of another entity.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f349b8bb6c8190ad12a7957a574f04 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff65987ff88190b09be64f7c0e1da9 |
completed | May 9, 2026, 4:49 p.m. |
| PD | Predicate disambiguation | batch_69ff6525b0548190bef7a9f009e00bb8 |
completed | May 9, 2026, 4:47 p.m. |
| PDg | Predicate description generation | batch_69ff659717708190bb56714d1b261063 |
completed | May 9, 2026, 4:49 p.m. |
Created at: May 1, 2026, 1:57 a.m.